P10022 AF NFT

Uncharacterized 23.6 kDa protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibwywyfjvqoczdwhcdl73pb5v2ngburc2dxqe7v2hnfixs4a5z3zm/metadata.json
IPFS of structure file: 
bafybeic67c7jn4xlwupgqdaxlwkcnbhuwzndhn4yqxzxih2ketqrewn2iq/AF-P10022-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x8121f1A941877F63804adf9D7a04516e870150EE
First NFT owner address (bech32): 
genesis1syslr22psalk8qz2m7wh5pz3d6rsz58w64eaam
Current NFT ID #530598 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
530598
Accession (UniProt):
P10022
Name::
Uncharacterized 23.6 kDa protein
Experimental Method:
Predicted structure
Sequence source:
BACILLUS THURINGIENSIS

NFT data

MolNFT AF v1 is an AlphaFold database of AI predicted Swiss-Prot protein sequences preserved as regular ERC-721 NFT tokens on GenesisL1 blockchain for public free use, research and entertainment:

https://alphafold.ebi.ac.uk/
Jumper, J., Evans, R., Pritzel, A. et al. Highly accurate protein structure prediction with AlphaFold. 
Nature 596, 583–589 (2021). https://doi.org/10.1038/s41586-021-03819-2

MOLNFT P10022 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P10022|YGI1_BACTU Uncharacterized 23.6 kDa protein OS=Bacillus thuringiensis OX=1428 PE=4 SV=2 MTNTIDFKHVEKNARIRDFENEKEKFKQDHNGINQEEVNQAMQVLSKATGGKEIFIGTKRSPQSKVKFAQFIQDNWDYALENAFFTDEEMLFLLRIQRFLQFKSNCIVNDIHSRNALPMSQKQIADRLKTDKSKISRIVNSLVQKGVIVKANGHKPEGVKARTYALFINPNIIYSGERDNVETTLKALFMNSKSLFKKFPIALF